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Record W339651137 · doi:10.1162/jcws.2004.6.3.150

James McAllister, <i>No Exit: America and the German Problem, 1943–1954</i>. Ithaca: Cornell University Press, 2002. 283 pages.

2004· article· en· W339651137 on OpenAlexaffabout
Ronald W. Pruessen

Bibliographic record

VenueJournal of Cold War Studies · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicGerman History and Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGermanIconCitationDownloadLibrary scienceSearch engine optimizationHistoryComputer scienceWorld Wide WebSearch engine

Abstract

fetched live from OpenAlex

July 01 2004 No Exit: America and the German Problem, 1943–1954 JamesMcAllister, No Exit: America and the German Problem, 1943–1954. Ithaca: Cornell University Press, 2002. 283 pages. Ronald W. Pruessen Ronald W. Pruessen University of Toronto Search for other works by this author on: This Site Google Scholar Author and Article Information Ronald W. Pruessen University of Toronto Online Issn: 1531-3298 Print Issn: 1520-3972 © 2004 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology2004 Journal of Cold War Studies (2004) 6 (3): 150–151. https://doi.org/10.1162/jcws.2004.6.3.150 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Ronald W. Pruessen; No Exit: America and the German Problem, 1943–1954. Journal of Cold War Studies 2004; 6 (3): 150–151. doi: https://doi.org/10.1162/jcws.2004.6.3.150 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsJournal of Cold War Studies Search Advanced Search This content is only available as a PDF. © 2004 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology2004 Article PDF first page preview Close Modal You do not currently have access to this content.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.099
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0030.002
Scholarly communication0.0030.008
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0990.031

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.217
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2004
Admission routes2
Has abstractyes

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